Evidence of rising food insecurity in UK and EU: potential drivers and the role of social protection

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1 Evidence of rising food insecurity in UK and EU: potential drivers and the role of social protection Rachel Loopstra Division of Diabetes and Nutritional Science, King s College London Department of Sociology, University of Oxford

2

3 Numbers receiving emergency food parcels from the Trussell Trust / / / / / / /15 * Data from Trussell Trust Foodbank Network, est First year systematic data collection in 2008/09.

4 Changes to Welfare Support since 2010 ~ 25% reduction in local authority budgets Reduced entitlements Benefit cap Tougher conditionality & sanctioning

5

6 Response from Government no robust evidence linking food bank usage to welfare reform - Esther McVey, Minister of State for Employment, Letter to Scottish Government, June 2014

7 Foodbanks: Every town should have one (Lambie-Mumford, Journal of Social Policy, 2013)

8 Trussell Trust Foodbank Social Franchise Model

9 Supply vs Demand? "Food from a food bank the supply is a free good, and by definition there is an almost infinite demand for a free good." Lord Freud, Minister for Welfare Reform, 2013.

10 Gaps Lack of systematic evaluation of factors associated with food banks opening across UK. Need to understand factors associated with food bank usage, accounting for changing provision of emergency food aid.

11 Research questions What explains the rising number of Trussell Trust food banks opening in the UK after 2009 to 2013? After accounting for supply of food banks, what explains higher food parcel distribution?

12 Sample of local authorities 5 excluded small size 29 with Foodbanks 380 local authorities 375 local authorities 346 local authorities without Foodbanks in 2009 England, Scotland, Wales 251 with Foodbanks in without Foodbanks in 2013

13 Data Trussell Trust Foodbank data, Number of food banks operating each year Number of people fed by food parcels in each year Official government statistics for local authorities, Economic production: Gross Value Added (ONS) Unemployment rate (Nomis) Spending on local services provision, welfare support, and community programmes (DCLG) Benefit spending on unemployment insurance, disability benefits, low income etc. (DWP) Sanctions applied to unemployment benefit claimants (DWP) Proportion of population identifying as Christian (Census 2011) 13

14 Analysis 1 First food bank opening in local authorities: Logistic regression model: Local authority-years excluded from analysis after censoring. N=1071 local-authority years included. Clustered standard errors by local authority Predictor variables: Socioeconomic conditions in two years prior Percent reductions in spending in two years prior

15 Expansion of Trussell Trust food banks across local authorities in the UK 2009 Trussell Trust food banks in 29 local authorities 2013 Trussell Trust food banks in 251 local authorities (Loopstra, Reeves et al., BMJ, 2015.)

16 Table: Factors associated with first food bank opening in local authorities. Odds Ratio for Food Bank Opening 95% CI Each 1 percentage point higher unemployment rate One year prior 1.08 ** 1.02 to 1.14 Each 1% cut in local authority welfare spending in the prior year One year prior 1.07 *** 1.03 to 1.11 Two years prior 1.06 ** 1.02 to 1.11 Notes: Model also includes % of population identifying as Christian, central cut in welfare benefit spending, and Gross Value Added. 95% confidence intervals based on standard errors clustered by local authority to reflect non-independence of sample units. Local authorities were censored for years after first food bank initiated. * p < 0.05, ** p < 0.01, *** p < (Loopstra, Reeves et al., BMJ, 2015.)

17 Figure: Probability of food bank opening given spending cut in previous year. Probability of a Food Bank Percentage Cut in Local Authority Spending in Previous Year

18 Analysis 2 Food parcel distribution: Linear regression model N=575 local authority-years included where food banks were operating over Clustered standard errors by local authority Predictor variables: Socioeconomic conditions and spending reductions in contemporaneous year Include measures of supply-side How long and how many food banks operating

19 Table: Factors associated with food parcel distribution, , 251 local authorities with food banks and 575 local authority-years. Socio-economic factors Each 1 percentage point higher rate of sanctions per claimant Each 1 percentage point higher unemployment rate Each 1 percent cut in central government welfare spending Percentage point change in food bank use (95% CI) 0.09* (0.01 to 0.17) 0.06** (0.02 to 0.09) 0.16*** (0.10 to 0.22) Notes: Model also adjusted for number of food banks operating, years foodbanks operating, local authority spending cut, Gross Value Added, and % of population identifying as Christian. 95% confidence intervals based on standard errors clustered by local authority to reflect non-independence of sample units. * p < 0.05, ** p < 0.01, *** p < (Loopstra, Reeves et al., BMJ, 2015.)

20 Summary The expansion of food banks across the UK associated with socioeconomic conditions and local spending cuts in local authorities. Higher rates of food bank use where more people unemployed, more benefit claimants sanctioned, and deeper cuts to benefit spending. Together, suggest rising problem of insecure food access in UK population.

21 We have looked at this issue extensively and we agree with the conclusion reached by the All Party Parliamentary Inquiry into Hunger, that the reasons for food bank use are complex and overlapping. There is no robust evidence that directly links sanctions and Food Bank use. Priti Patel Former Minister of State for Employment, 2015

22 CLOSER EXAMINATION OF SANCTIONING

23 Increasing Conditionality and Tougher Sanctioning Under Coalition Government January August 2011: Introduction of Back to Work schemes Mandatory and non-mandatory work and training requirements New sanction regime, October 2012 Longer duration and faster implementation Minimum sanction period introduced (4 weeks), longest up to three years Emphasis on conditionality by current government Roll-out of Claimant Commitment in 2013 Sanctioning targets?

24 Sanctions applied to benefit claimants

25 Analyses: quarterly rates of food bank usage

26 Rates of food bank usage higher where more sanctions applied

27 Food bank usage rises and falls with the number of sanctions applied each quarter

28 Analyses: evidence we are not seeing full impact of sanctions? 8

29 The effect of sanctions on underlying problem of food insecurity only visible where Trussell Trust food banks operate.

30 Summary For 10 sanctions applied, about 5 more instances of adults fed by Trussell Trust food banks. Strong dynamic link suggests sanctions lead to a significant number of people having to turn to food banks. Decline in number of sanctions not as strong: longer sanction penalties? cycle of long-term hardship? The full impact of sanctioning on the inability of people to afford and access food likely hidden where few food banks operate. Need for monitoring of household food insecurity in the population and potential limits of a charitable food response to hunger in the population.

31 WHY IS SOCIAL PROTECTION SO IMPORTANT, ESPECIALLY AT TIMES OF ECONOMIC DOWNTURN?

32 Insight from EuroStat: Rising inability to afford food in EU Proportion of EU-27 population (%) Observed trend in food insecurity Predicted trend in food insecurity Year : food hardship decreasing each year by 0.51 percentage points. Estimated excess in food hardship since 2009: 2.71% of EU-27 population, 13.5 million people. Source: Eurostat. Report of inability to afford meat, chicken, fish, or vegetarian equivalent every other day.

33 Percentage point change in food hardship 2009 to 2012 Italy Greece Hungary United Kingdom Estonia Czech Republic Ireland Netherlands Finland Belgium Spain Denmark Luxembourg Sweden France Slovak Republic Germany Slovenia Portugal Poland Austria Percentage Point Change in Food Hardship,

34 Research Questions What explains within-country changes in food hardship? Hypothesis 1: Unemployment and declining wages increase food insecurity. Hypothesis 2: Level of social protection spending will buffer macroeconomic drivers. (Loopstra et al. Prev Med. 2016)

35 Social Protection across Europe Classified according to 8 functions: sickness / healthcare including paid sick leave, medical care and the provision of pharmaceutical products; disability including disability pensions and the provision of goods and services (other than medical care) to the disabled; old age including old age pensions and the provision of goods and services (other than medical care) to the elderly; family / children including support (except healthcare) in connection with the costs of pregnancy, childbirth, childbearing and caring for other family members; unemployment including vocational training financed by public agencies; housing including interventions by public authorities to help households meet the cost of housing; social exclusion not elsewhere classified including income support, rehabilitation of alcohol and drug abusers and other miscellaneous benefits.

36 Data & Analysis Compiled longitudinal cross-country database across EU-27 countries; complete panel data for 21 countries, 2005 to 2012 GDP, unemployment (Eurostat) Average annual wages (OECD) Food hardship: report of inability to afford to eat meat (or vegetarian equivalent) every other day. (Eurostat) Food hardship it = β 0 + β 1 GDP it + β 2 Unemployment it +β 3 Wages it +Year+ ε it Interaction with level of social protection spending

37 Rising unemployment and falling wages linked to rising food hardship. * p < 0.05, ** p < 0.01 Notes: All models adjust for a linear time trend. Robust standard errors are reported in parentheses.

38 Figure: Predicted change in food hardship by change in unemployment rate and level of social protection spending. Percentage point change in food insecurity (%) Czech Republic Estonia Hungary Austria Belgium Denmark Finland France Sweden Total social protection spending ($) Notes: All currency in constant international dollars adjusted for purchasing power parity.

39 Figure: Predicted change in food hardship for a $1000 decrease in annual average wages and level of social protection spending. Percentage point change in food insecurity (%) Total social protection spending ($) Notes: All currency in constant international dollars adjusted for purchasing power parity.

40 CHALLENGES AND OPPORTUNITIES IN UK/EU

41 Government dismissal of evidence House of Commons, November 2016: To ask the Secretary of State for Work and Pensions, if he will make an assessment of the implications for his Department's policies of the conclusions of sociology working paper , published by the University of Oxford on 27 October 2016, on the impact of benefit sanctioning on food insecurity: The report the honourable member cites does not provide evidence of a causal link between sanctions rates and the use of food banks.

42 Reliance on country-level food bank data: insufficient to understand changing underlying need. Numbers fed / / / /16 Constant number of foodbanks Growing number of foodbanks (Loopstra et al. forthcoming)

43 Reliance on food bank data: underestimating need Number fed by food banks vs. number of food insecure 17X Estimated number in households fed by Trussell Trust (2014) Estimated number in food insecure households (2014) * Food insecurity estimate from Gallup World Poll sample in UK. Validated measure of food insecurity.

44 Government resistance to taking a closer look Asked about measurement of household food insecurity: We do not intend to measure household food insecurity because there is no single definition of food insecurity. There are multiple indicators such as quality, variety and desirability of diet as well as total intake, not all of which are measured consistently. It is therefore very difficult and potentially misleading to develop a single classification of food insecurity.

45 Conclusions Media attention has brought question of hunger to forefront of political debate in UK Yet, danger that food bank usage data will continue to be used as barometer of hunger in absence of monitoring; and that attention will focus on strengthening food bank networks. Effectiveness and reach of charitable food assistance yet to be evaluated in UK. Early view from EuroStat data and FAO data suggest food insecurity highly prevalent, yet need for uptake of food insecurity measurement on national surveys to better understand causes and consequences.

46 THANK YOU Acknowledgements: Valerie Tarasuk & Naomi Dachner, University of Toronto Aaron Reeves, David Stuckler, Jasmine Fledderjohann, David Taylor- Robinson, Ben Barr, Martin McKee, Anna Taylor & Food Foundation, Hannah Laurison & Sustain

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